Helpful or Harmful? Exploring the Efficacy of Large Language Models for Online Grooming Prevention

arXiv:2403.09795v1 Announce Type: cross
Abstract: Powerful generative Large Language Models (LLMs) are becoming popular tools amongst the general public as question-answering systems, and are being utilised by vulnerable groups such as children. With children increasingly interacting with these tools, it is imperative for researchers to scrutinise the safety of LLMs, especially for applications that could lead to serious outcomes, such as online child safety queries. In this paper, the efficacy of LLMs for online grooming prevention is explored both for …

abstract arxiv children cs.ai cs.cl cs.cr general generative language language models large language large language models llms popular prevention public question researchers systems tools type vulnerable